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fix: Always clear cache when on MCP page to help with redirect issue (apify#1801)
Always clear cache when on MCP page to help with redirect issues.
Previously, mcp.apify.com had a 301 redirect to this docs page, which
was wrong.
Many users have this redirect cached in their browsers, so they can't
access the new MCP UI.
This helps with their cached redirect, allowing them to access
mcp.apify.com
@B4nan is there is a better place to put the code than in the
src/theme/layout?
Kudos to @JJetmar
FYI @MQ37closeapify/apify-mcp-server#129closehttps://github.com/apify/ai-team/issues/33
EDIT: Remove this fix after some time:
apify#1802
---------
Co-authored-by: Michał Olender <[email protected]>
Copy file name to clipboardExpand all lines: sources/platform/integrations/ai/mcp.md
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<!-- markdownlint-disable MD024 -->
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The _Apify Model Context Protocol (MCP) Server_ allows AI applications to connect to Apify’s extensive library of Actors as tools to perform web scraping, data extraction, or other automation tasks in real time.
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The _Apify Model Context Protocol (MCP) Server_ allows AI applications to connect to Apify's extensive library of Actors as tools to perform web scraping, data extraction, or other automation tasks in real time.
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You can use the Apify MCP Server in two ways:
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-_HTTPS Endpoint_`mcp.apify.com`: Connect your MCP client through OAuth or by including `Authorization: Bearer <APIFY_TOKEN>` header in your requests.
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-`https://mcp.apify.com` for streamable transport (recommended)
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-`https://mcp.apify.com/sse` for SSE transport (legacy)
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-`https://mcp.apify.com` for streamable transport
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-_Standard Input/Output (stdio)_: Ideal for local integrations and command-line tools such as the Claude for Desktop client.
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- Set MCP client server command to `npx @apify/actors-mcp-server` and environment variable `APIFY_TOKEN` to your Apify API token
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- See `npx @apify/actors-mcp-server --help` for more options
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You could also use legacy option by running [Apify Actors MCP Server](https://apify.com/apify/actors-mcp-server) as an Actor.
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:::tip Quick setup options
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_MCP server configuration for other clients_: Use https://mcp.apify.com to select Actors and tools, then copy the configuration to your client.
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:::tip Run instantly ⚡
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To install the Apify MCP Server in [Claude for Desktop](https://claude.ai/download) with one click, download and run the latest [Apify MCP Server DXT file](https://github.com/apify/actors-mcp-server/releases/latest/download/actors-mcp-server.dxt)
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_Claude Desktop_: Download and run the [Apify MCP Server DXT file](https://github.com/apify/actors-mcp-server/releases/latest/download/actors-mcp-server.dxt) for one-click installation.
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:::
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## Prerequisites
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Before you start, make sure you have the following:
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The Apify MCP server has a rate limit of _30 requests per second_ per user. If you exceed this limit, you will receive a `429 Too Many Requests` response.
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## Troubleshooting
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## Support and contribution
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The Apify MCP Server is an open-source project.
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You can report bugs, suggest new features, or ask questions in the [GitHub issues](https://github.com/apify/actors-mcp-server/issues).
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If you find this project useful, please [star it on GitHub](https://github.com/apify/actors-mcp-server) to show your support!
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-_Authorization (API Token):_ If the MCP server isn’t executing Actors, ensure you provided a correct Apify API token. Without a valid `APIFY_TOKEN`, the server cannot start Actor runs. Always set the `APIFY_TOKEN` environment variable when running locally.
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-_Ensure latest version:_ If running via NPM, always use the latest version of `@apify/actors-mcp-server` for the newest features and fixes. You can append `@latest` when installing or in your config args to ensure this.
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## Learn more
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-[Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction): Learn about the open standard on the official MCP website – understanding the protocol can help you build custom agents.
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-[Apify Actors MCP Server](https://apify.com/apify/actors-mcp-server): The README for the Apify MCP Server actor (available on Apify Store as `apify/actors-mcp-server`) provides technical details on implementation and advanced usage.
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-[Actors MCP Server GitHub](https://github.com/apify/actors-mcp-server): The README for the Apify MCP Server actor (available on Apify Store as `apify/actors-mcp-server`) provides technical details on implementation and advanced usage.
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-[Apify Tester MCP Client](https://apify.com/jiri.spilka/tester-mcp-client): A specialized client actor (`jiri.spilka/tester-mcp-client`) that you can run to simulate an AI agent in your browser. Useful for testing your setup with a chat UI.
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-[How to use MCP with Apify Actors](https://blog.apify.com/how-to-use-mcp/): Learn how to expose over 5,000 Apify Actors to AI agents with Claude and LangGraph, and configure MCP clients and servers.
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-[Apify MCP Server Tutorial](https://www.youtube.com/watch?v=BKu8H91uCTg): Integrate thousands of Apify Actors and Agents with Claude.
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